import pymysql
import pandas as pd
import pymysql.cursors

class MysqlUtils(object):

    def __init__(self):
        self.conn = pymysql.connect(
            host='127.0.0.1',
            user='root',
            password='root',
            database='scenic',
            port=3306,
            charset='utf8'
        )
    def get_scenic_data(self):
        cursor = self.conn.cursor(cursor=pymysql.cursors.DictCursor)
        sql = """
        SELECT order_id, id_no,user_name,phone, age, user_count FROM ( SELECT o.id as otder_id, u.id_no,u.user_name,u.phone,
        CASE
            WHEN length(u,id_no) =18 THEN YEAR(now()) -cast(substr(u.id_no,7,4) as signed)
            else NULL
         END as age,
        (SELECT count(*) FROM ticket_order_rel WHERE order_id -o.id) as user_count
        FROM ticket_order o JOIN ticket_order_user_rel u on u.order_id = o.id WHERE o.pay_time is not null and o.pay_time !='' and u.id_no is not null and u.id_no!='' 
        ) as suquery WHERE user_count = 1and (age < 18 or age>= 60)

"""




    cursor.execute(sql)
    ret = cursor.fetchall()
    df = pd.DataFrame(ret)
    print(df)
    df.to_csv()

if __name__=='_main_':
    mu = MysqlUtils()
    mu.get_scenic_data()